Vehicle parking system using optical character recognition

Kong, Ming Han (2017) Vehicle parking system using optical character recognition. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Paying parking payment has been the most ordinary task for those who get used to park at shopping mall parking lots. That person need to go through the process from taking parking ticket at the parking entrance until paying parking fees at the AutoPay machine. However, there’s a time-wasting and inconvenient for customer who is disabled and pregnant women. They are having difficulties to queue and look for the AutoPay machine to pay their parking fees. Firstly, car owners don’t know how long they have parked in which they might get shocked due to hefty parking fees sometimes. Next, car owners such as pregnant women and disabled may find hard to make their parking payment due to inconvenience to use AutoPay machine. Then, current system is causing a lot of paper wastage due to printing parking ticket at the entrance which is not environmental friendly and loss of ticket might happen to some careless customer. Therefore, this project is to develop a system that acts as an alternative way of paying parking fees in shopping malls. In this project, it includes three systems, which is desktop, mobile and web application. The mobile application will be used by user to check parking duration and also paying parking fees. The parking fees will be paid through payment gateway such as PayPal, Stripe and In-App Wallet instead of using cash. For the desktop application, it will be used with camera to capture car image, perform image processing and apply optical character recognition to identify and recognise car registration number. Next, the web application will be used by admin to see the car records. At the end of the project, it can reduce the hassle that brings to pregnant women and disabled. Besides, it creates greener, safer and easier ways of making parking payment.

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